The aim of this paper is to develop a system which recommends an attractive quotation for any user's context from huge amount of texts available in the web. As the first step in the development of this Quotation Recommending System, we focus on a major example of the quotation, Proverb. We propose several algorithms recommending a Proverb suitable for a given context by matching context with proverb, and evaluate and compare the performance among them.
